Method and system for authenticating online transactions

ABSTRACT

The present invention generally relates to authenticating online transactions, and more specifically, to method and system for determining a potentially fraudulent online transaction request based on a risk parameter associated with a user in a networking platform such as, a social networking platform. The method comprises receiving an online transaction request from a user. Thereafter, determining the risk parameter of the user based on one or more profile parameters associated with the user or one or more peer users associated with the user in the community. Based on the risk parameter of the user the online transaction request of the user is authenticated.

FIELD OF THE INVENTION

The present invention generally relates to authenticating onlinetransactions, and more specifically, to a method and system fordetermining a potentially fraudulent online transaction request based onprofile parameters associated with a user and one or more of user'sassociations in a networking platform such as, a social networkingplatform.

BACKGROUND OF THE INVENTION

Generally, a current trend in companies, offering social networkingapplication over the internet, is to create networking platforms thatallow third party entities to develop application on those networkingplatforms. In this manner, the companies offering social networkingapplication over the internet utilize diversity and skills of many thirdparty entities to create applications that benefit users of thenetworking platform and enhance the value of the social networkingapplication as a whole. These applications, created by the third partyentities, are software applications performing a certain task within anenvironment and structure of the networking platform. The applicationsinclude a software utility, a user entertainment application, a game, acommunication tool, a monitoring agent and many others. Example ofpopular and prominent companies offering social networking applicationover the internet may include, but not limited to, Facebook®, MySpace®,Bebo®, Hi5® and Orkut®. Some examples of popular applications thatreside on networking platform offered by Facebook® may include, but notlimited to, Scratch and Win® by Backstage Technologies®, Texas Hold'emPoker® by Zynga® and Armies® by FrozenBear. More often than not, thesenetworking platforms allow these applications to leverage theinformation hosted by the networking platform. The information includesuser data, networking platform data and others.

The monetization methods adopted by the third party entities includesubscription fees, advertising, sponsorship, direct payments, paymentfor offers and many others. For an example, the third party entity maycharge a small amount of subscription fee from the users for using theirapplication. In another example, the third party entity may charge theusers on a pay-per-use basis i.e. the users pay a fee every time theusers uses the applications. In another example, the third party entitymay charge the user for virtual goods i.e., digital items that the userscan utilize within the third party application. An example of such adigital item may be a type of sword in a gaming application that a userpurchases. This sword may bestow additional skills, powers and abilitiesto the user within the gaming application that are not otherwiseavailable to the users. Another example of digital items may include,but not limited to, a self-expression item, a decorative item such as aclothing for an avatar to wear in a gaming application, a decoration ora property that an avatar may own in the gaming application. Therefore,there exists a need for a system to enable the users to make payment forthese applications.

Further, the users accessing these applications may commit fraud andthus the online transaction request may be a fraudulent transaction. Forexample, fraud may take a form of a credit card chargeback, a reversalof payment through a payment provider or a default of a check or funds.In an example, a user may commit a fraud by accessing and playing a paidgame and thereafter requesting a refund pretending a misuse of theircredit card by malicious users for purchasing the paid game. In anotherinstance, a user may commit a fraud by deliberately using stolen,illegitimate or hacked data pertaining to credit cards or internetbanking with the intent of profiting from the fraud. Therefore, there isa need for a method and system that enables safe online transactionbetween the companies offering social networking platform, the thirdparty applications and the users.

BRIEF DESCRIPTION OF THE FIGURES

The accompanying figures, where like reference numerals refer toidentical or functionally similar elements throughout the separate viewsand which together with the detailed description below are incorporatedin and form part of the specification, serve to further illustratevarious embodiments and to explain various principles and advantages allin accordance with the present invention.

FIG. 1 illustrates a block diagram of a transaction authenticatingenvironment in which various embodiments of the invention may function.

FIG. 2 illustrates a flow diagram of a method for authenticating onlinetransactions in accordance with an embodiment of the invention.

FIG. 3 illustrates a flow diagram of a method for determining apotentially fraudulent online transaction request in accordance with anembodiment of the invention.

FIG. 4 illustrates a flow diagram of a method for authenticating anonline payment transaction request in accordance with another embodimentof the invention.

FIG. 5 illustrates a flow diagram of a method for communicating at leastone profile parameter and a user identifier to the third party paymentprovider.

FIG. 6 illustrates a flow diagram of a method for determining apotentially fraudulent online payment transaction request by the thirdparty payment provider in accordance with another embodiment of theinvention.

FIG. 7 illustrates a block diagram of a system for authenticating onlinetransaction requests in accordance with an embodiment of the invention.

FIG. 8 illustrates a block diagram showing authentication of an onlinetransaction request, in accordance with an exemplary embodiment of theinvention.

FIG. 9 illustrates a block diagram of a third party payment provider inaccordance with an embodiment of the invention.

FIG. 10 illustrates a block diagram showing authentication of an onlinetransaction request, in accordance with another exemplary embodiment ofthe invention.

Skilled artisans will appreciate that elements in the figures areillustrated for simplicity and clarity and are symbolic and have notnecessarily been drawn to scale. For example, the dimensions or numberof some of the elements in the figures may be exaggerated relative toother elements to help to improve understanding of embodiments of thepresent invention.

DETAILED DESCRIPTION OF THE INVENTION

As required, detailed embodiments of the present invention are disclosedherein; however, it is to be understood that the disclosed embodimentsare merely exemplary of the present invention, which can be embodied invarious forms. Therefore, specific structural and functional detailsdisclosed herein are not to be interpreted as limiting, but merely as arepresentative basis for teaching one skilled in the art to variouslyemploy the invention in virtually any appropriately detailed structure.Further, the terms and phrases used herein are not intended to belimiting but rather to provide an understandable description of thepresent invention.

The terms “a” or “an”, as used herein, are defined as one or more thanone. The term plurality, as used herein, is defined as two or more thantwo. The term another, as used herein, is defined as at least a secondor more. The terms including and/or having, as used herein, are definedas comprising (i.e., open language). The term coupled, as used herein,is defined as connected, although not necessarily directly, and notnecessarily mechanically. The terms program, software application, andthe like as used herein, are defined as a sequence of instructionsdesigned for execution on a computer system. A program, computerprogram, or software application may include a subroutine, a function, aprocedure, an object method, an object implementation, an executableapplication, an applet, a servlet, a source code, an object code, ashared library/dynamic load library and/or other sequence ofinstructions designed for execution on a computer system.

Before describing in detail embodiments that are in accordance with thepresent invention, it should be observed that the embodiments resideprimarily in combinations of method steps and apparatus componentsrelated to method and system for authenticating online transactions.Accordingly, the apparatus components and method steps have beenrepresented where appropriate by conventional symbols in the drawings,showing only those specific details that are pertinent to understandingthe embodiments of the present invention so as not to obscure thedisclosure with details that will be readily apparent to those ofordinary skill in the art having the benefit of the description herein.

In this document, relational terms such as first and second, top andbottom, and the like may be used solely to distinguish one entity oraction from another entity or action without necessarily requiring orimplying any actual such relationship or order between such entities oractions. The terms “comprises,” “comprising,” or any other variationthereof, are intended to cover a non-exclusive inclusion, such that aprocess, method, article, or apparatus that comprises a list of elementsdoes not include only those elements but may include other elements notexpressly listed or inherent to such process, method, article, orapparatus. An element proceeded by “comprises . . . a” does not, withoutmore constraints, preclude the existence of additional identicalelements in the process, method, article, or apparatus that comprisesthe element.

It will be appreciated that embodiments of the present inventiondescribed herein may be comprised of one or more conventionaltransaction-clients and unique stored program instructions that controlthe one or more transaction-clients to implement, in conjunction withcertain non-transaction-client circuits, some, most, or all of thefunctions of a method for transaction authenticating system. Thenon-transaction-client circuits may include, but not limited to, a radioreceiver, a radio transmitter, signal drivers, clock circuits, powersource circuits, user input devices, computer processors, computers,servers, databases and cloud computing devices. As such, these functionsmay be interpreted as steps of methods for authenticating onlinetransactions. Alternatively, some or all functions could be implementedby a state machine that has no stored program instructions, or in one ormore application specific integrated circuits (ASICs), in which eachfunction or some combinations of certain of the functions areimplemented as custom logic. Of course, a combination of the twoapproaches could be used. Thus, methods and means for these functionshave been described herein. Further, it is expected that one of ordinaryskill, notwithstanding possibly significant effort and many designchoices motivated by, for example, available time, current technology,and economic considerations, when guided by the concepts and principlesdisclosed herein will be readily capable of generating such softwareinstructions and programs and ICs with minimal experimentation.

Generally speaking, pursuant to various embodiments, the presentinvention provides transaction authenticating system. The methodincludes receiving an online transaction request from a user.Thereafter, a risk parameter of the user is determined based on one ormore profile parameters associated with one or more of the user and apeer user associated with the user in a community. Subsequently, theonline transaction request is authenticated at least in part based onthe risk parameter associated with the user.

FIG. 1 illustrates a transaction authenticating environment 100 in whichvarious embodiments of the invention may function. Transactionauthenticating environment 100 receives requests for multiple onlinetransactions from users and authenticates these received onlinetransaction requests. An online transaction may include, but not limitedto, buying, selling, transferring, returning and refunding of goods,services, and currency. The goods may include, but not limited to a realcommodity and a virtual commodity. Further, the currency may include,but not limited to a real currency and a virtual currency. As shown inFIG. 1, users 102-n such as user 102-1 and user 102-2 may send an onlinetransaction request to an online merchant 104 over a communicationnetwork 106. Online merchant 104 may be a company or an organizationthat may communicate with users 102-n over internet for transactinggoods, services and currency. It will be apparent to the person skilledin the art that online merchant 104 may communicate with users 102-nusing other modes of communication. Online merchant 104 may transactgoods, services and currency with either users 102-n or other businessentities (not shown in FIG. 1) or both. Examples of online merchant 104may include, but not limited to, eBay Inc®, Amazon.com®, Buy.com® andBarnesandNoble.com®.

Communication network 106 may include for example, but are not limitedto, Internet, Wide Area Network (WAN), Local Area Network (LAN),Integrated Services Digital Network (ISDN), Broadband network, WirelessInteroperability Microwave Access (WiMAX) communication network, 3rdGeneration Partnership Project (3GPP), Public Switched Telephone Network(PSTN), Universal Mobile Telecommunication Systems (UMTS), Ultra MobileBroadband (UMB) network, terrestrial digital TV, radio and short-rangeradio. Users 102-n may use one or more computing devices (not shown inthe FIG. 1) for sending the transaction request to online merchant 104.Examples of a computing device may include, but not limited to, a cellphone, a laptop, a computer, an e-book, a Personal Digital Assistant(PDA) or any other wireless or wired device capable of connecting toonline merchant 104 over the communication network 106.

Upon receiving the online transaction request from users 102-n, onlinemerchant 104 may verify whether the online transaction request is apotentially fraudulent or a genuine online transaction request. Based onthis verification process, online merchant 104 may deny or accept theonline transaction request received from user 102.

FIG. 2 illustrates a flow diagram of a method for authenticating onlinetransactions in accordance with an embodiment of the invention. Anonline merchant authenticates an online transaction request from a userbased on the one or more profile parameters. The one or more profileparameters may be obtained from one or more networking platforms. Anetworking platform may be a social networking platform. Examples of thesocial networking platform may include, but not limited to, Facebook®,MySpace®, Bebo®, Hi5®, Orkut® and so on.

At step 202, an online transaction request is received from a user. Forexample, online merchant 104 receives a request for one or moretransactions from users 102-n. Thereafter, a risk parameter associatedwith the user is determined based on one or more profile parametersassociated with the user at step 204. In an instance, online merchant104 analyzes a history of transaction data pertaining to all thetransaction requests from users 102-n to identify correlations betweenprofile parameters and a likelihood of the users 102-n committing fraud.Thereafter, this correlation may be used for determining risk parametersassociated with users 102-n. The profile parameters may be obtained fromone or more networking platforms where users 102-n have an account.

A profile parameter of the one or more profile parameters may beassociated with the user or a peer user associated with the user in acommunity such as, a social networking community. The peer user mayinclude, but not limited to, friends, colleagues, and relatives. Theprofile parameter may include, but not limited to, an activity, age, anassociation membership, a book, a self declared preference, a comment, acurrent or former employer, a current or former job position, a city, aclub membership, a degree major, a degree minor, an education level,family members, fan pages, a gender, a geographic location, a groupmembership, a hobby, a hometown, an interest, a job title, a maritalstatus, a music, a movie, an occupation, a number of communityconnections, a number of friends, a number of recommendations from thecommunity connections, a number of photos, photos, political views,religions views, a page membership, a refund score, a relationshipstatus, a sport and a television show.

The risk parameter may be a numerical value indicating a level oftrustworthiness associated with the user. However, it will be apparentto a person skilled in the art that the risk parameter may be indicatedin any other form. For example, if a correlation is identified intransaction data that suggests higher education levels are indicative oftrustworthy purchases with very low rates of default, users 102-n mayhave one hundred associations and all the associations are educated withat least a Bachelors degree or above. In this case, a potential risk offraud associated with users 102-n may be low. Thus, it may be concludedthat it is unlikely that users 102-n may not commit any fraud whileperforming an online transaction with online merchant 104.

In an embodiment of the invention, the risk parameter may be determinedby the online merchant. For example, online merchant 104 may determinethe risk parameter based on the one or more profile parameters. In thiscase, online merchant 104 may communicate with a networking platformsuch as, a social networking platform associated with users 102-n overcommunication network 106 in order to obtain the one or more profileparameters. Alternatively, a networking platform may determine a riskparameter associated with the user beforehand using the one or moreprofile parameters associated with the user. In this case, thenetworking platform may send the risk parameter of the user to theonline merchant upon receiving a request from the online merchant.

The networking platform may determine risk parameters of all the usershaving an account with the networking platform beforehand. Thenetworking platform may store the risk parameters of all the users in adatabase. The database may be integrated within the networking platform.Alternatively, the database may be external to the networking platform.The networking platform may update the database on a periodic basis.Thereafter, the networking platform may permit the online merchant toaccess the database. The online merchant may be authenticated by thenetworking platform before granting access to the database.

While determining the risk parameter associated with the user, thegenuineness of a profile of the user may be determined. The genuinenessof a user profile indicates whether the user profile is real or fake.Often, users create fake profiles within a networking platform such as,a social networking platform with the intentions to commit fraud.Therefore, the data associated with such user profiles is not legitimateor complete as compared to real or genuine user profiles. These fakeprofiles often may not have data or may have less data or incompletedata preferences. In addition, these fake profiles may not have friendsor may have very less number of friends. In such a scenario, more weightmay be assigned to a particular profile parameter as compared to otherprofile parameters while determining the genuineness of the user profileand the risk parameter. For example, a profile parameter such as ‘numberof friends’ may be assigned more weight as genuine users invest aconsiderable amount of time in establishing their profiles, real friendsand their data preferences. In an instance, a user may have a hugenumber of friends and most of the friends may have committed fraud atsome point of time. In this case, the odds of the user committing fraudmay be high. Conversely, if most of the user's friends have a history oflegitimate transactions then the odds of the user being trustworthy maybe high. Therefore, the user's social network is an indication of theuser's peer group and these social networks often behave in similarmanners.

In another example, a data related to usage of a social networkingplatform or any application in the social networking application by theuser may be used to determine the genuineness of the profile and therisk parameter associated with the user. The usage data may include, butnot limited to, a date of an account creation, frequency of the accountaccess, last login date and time, frequency of access of a gamingapplication and a level of play inside the gaming application. Thus, ifthe user frequently accesses his account on a periodic basis then theuser is less likely to commit a fraud. Further, a user frequentlyengaging himself with the gaming application for a longer period is alsoless likely to commit a fraud.

In an embodiment of the invention, one or more criteria may be employedin determining the risk parameter of the user based on the one or moreprofile parameters. The one or more criteria may be employed by thenetworking platform, the online merchant or any other third partyevaluators. For example, in a scenario, the one or more criteria, mayinclude but not limited to, sub-dividing a profile parameter atdifferent levels, assigning weight to each sub-divided level of theprofile parameter, comparing a profile parameter of a user with thesub-divided level of the profile parameter, assigning a weight to aprofile parameter of the user based on comparison, collating the weightsof the profile parameters, and averaging the weight of all the profileparameters.

For example, a profile parameter such as, education may be sub-dividedat the following levels: a Post-Doctoral degree, a Master's degree, aBachelor's degree, an Undergraduate degree and below Undergraduatedegree. Thereafter, a weight may be assigned to individual sub-dividedlevel of the profile parameter education. The weight may be assigned ona scale of 1 to 10. For example, a Post-Doctoral degree may be assigneda weight of 10, while a Doctoral degree may be assigned a weight of 9.Similarly, a Master's degree may be assigned a weight of 7, a Bachelor'sdegree may be assigned a weight of 6, a Undergraduate degree may beassigned a weight of 5 and below Undergraduate may be assigned a weightof 0.

In another example, a profile parameter such as, marital status may besub-divided at the following levels: married, single (i.e. nevermarried), separated, divorced, unknown (i.e. user may have declined toreveal the marital status). Thereafter, a weight may be assigned toindividual sub-divided level of the profile parameter the maritalstatus. The weight may be assigned on a scale of 1 to 10. For example,married may be assigned a weight of 10, while a single (i.e. nevermarried) may be assigned a weight of 8. Similarly, a separated user maybe assigned a weight of 6, a divorced may be assigned a weight of 4 andan unknown (i.e. user may have declined to reveal the marital status)may be assigned a weight of 0.

In another instance, a profile parameter such as a geographic locationmay be sub-divided at the following levels: a geographic location 1, ageographic location 2, a geographic location 3 and a geographic location4. The geographic location 1 may have reported zero crime rates, thegeographic location 2 may have lower crime rates, the geographiclocation 3 may have moderate crime rates whereas the geographic location4 may have higher crime rates. Thereafter, a weight may be assigned tothese geographic locations. The weight may be assigned on a scale of 1to 10. For example, the geographic location 1 may be assigned a weightof 10, while the geographic location 2 may be assigned a weight of 8.Similarly, the geographic location 3 may be assigned a weight of 4whereas the geographic location 4 may be assigned a weight of 0. It willalso be apparent to person skilled in the art that the one or moreprofile parameters may be assigned weights in any other manner otherthan as described in the above examples.

The process of determining the risk parameter of the user based on theprofile parameters using the one or more criteria is now explained byway of an example. For example, user 102-1 is educated with a Doctoraldegree, is married and resides in a geographic location that falls underthe category of the geographic location 1. Whereas, user 102-2 iseducated below undergraduate degree, is divorced and resides in ageographic location that falls under the category of the geographiclocation 4. The profile parameters of user 102-1 and user 102-2 arecompared with the sub-divided levels of the profile parameters.Thereafter, based on comparison the profile parameters of user 102-1 and102-2 are assigned weights. In this scenario, the cumulative weight ofthe profile parameters of user 102-1 is 29 whereas for user 102-1 is 4.It may be determined that the risk parameter of user 102-1 is lowerwhereas for user 102-2 is higher. Therefore, it may be determined thatuser 102-2 is more likely to commit fraud while performing onlinetransactions.

In another scenario a profile parameter, such as a refund score, may beused to determine the risk parameter of the user. The refund score maybe determined based on a refund statistics of the user. The refundstatistics is associated with refunding of one of the real goods, thevirtual goods, the service and the currency to the online merchant. Forexample, a refund statistics indicate the value of currency purchasedagainst the value of currency returned to the online merchant.Alternatively, the refund statistics may indicate a probability of theuser returning goods obtained from the online merchant if the user doesnot require the goods. A lower refund score may denote that user istrustworthy.

For example, user 102-1 may request a purchase of a virtual currency inexchange for a real currency worth $10 where as user 102-2 may request apurchase of a virtual currency in exchange for a real currency worth$50. However, user 102-1 may have a history of refunding 90% of thevirtual currency purchased from online merchant whereas in the past user102-2 may have never requested a refund from the online merchant. Insuch a scenario, it may be determined that user 102-1 have a high refundscore whereas the user 102-2 have a zero refund score. In this scenario,the risk parameter of the user 102-1 is high whereas for user 102-2 itis low. Therefore, it is deemed that user 102-1 is less trustworthybased on the risk parameter of user 102-1.

Once the risk parameter of the user is determined, the onlinetransaction request of the user is authenticated based at least in partof the risk parameter at step 206. The user is then partially or fullyallowed or denied the transaction with the online merchant based on thisauthentication process. Alternatively, the user may be allowed aparticular level of transaction with the online merchant based on therisk parameter associated with the user. This is explained in detail inconjunction with FIG. 3.

FIG. 3 is a flow diagram of a method for determining a potentiallyfraudulent online transaction request in accordance with an embodimentof the invention. The one or more profile parameters associated withuser or peer users associated with the user may be used for determininga risk parameter of the user. The risk parameter may be associated withmultiple risk levels. Thus, an online transaction request from the useris authenticated based on a risk level of the risk parameter associatedwith the user.

As depicted in FIG. 3, once the risk parameter of the user is obtained,the risk parameter is compared with one or more predefined risk scorelevels at step 302. A predefined risk score level indicates a level ofrisk associated with the user. In an embodiment of the invention, theonline merchant compares the risk parameter of the user with the one ormore predefined risk score levels. In a scenario, the one or morepredefined risk score levels may be defined by the online merchant.During the comparison process, the online merchant identifies that therisk parameter falls within a predefined risk score level of the one ormore predefined risk score levels.

Alternatively, the one or more predefined risk score levels may bedefined by the networking platform. In this case, the networkingplatform may identify whether the risk parameter fall within apredefined score level of the one or more predefined risk score levels.Thereafter, the networking platform communicates the predefined riskscore level associated with the risk parameter to the online merchant.

Each predefined risk score level of the one or more predefined riskscore levels may have restrictions and privileges associated with thatlevel. These restrictions and privileges not only indicate certaintransaction constraints but also indicate the level of transactionauthorization trustworthiness between the user and online merchant. Therestrictions and privileges associated with a predefined risk scorelevel may be defined by the online merchant. Alternatively, therestrictions and privileges associated with the predefined risk scorelevel may be defined by the networking platform such as, a socialnetworking platform.

For example, one or more risk score levels include risk score level-1,risk score level-2 and risk score level-3. For the risk score level-1,online merchant 104 may not entertain any online transaction requestfrom user 102-n. Whereas, for the risk score level-2, online merchant104 may limit the maximum amount of currency that can be transacted byusers 102-n to online merchant 104 as $10. Further, for the risk scorelevel-3, online merchant 104 may specify the maximum amount of currencythat can be transacted by users 102-n to online merchant 104 should notexceed $100.

Based on the predefined risk score level of the risk parameter, at step304, the online merchant determines whether the online transactionrequest is a potentially fraudulent online transaction request.Thereafter, the online merchant may allow or deny the user fromtransacting with the online merchant.

For example, users 102-n having an account with one or more networkingplatforms, requests for an online transaction with online merchant 104.It may so happen that the user may have a risk parameter of 15. Onlinemerchant 104 compares the risk parameter of users 102-n with fivepredefined risk score levels. Thus, the five predefined risk scorelevels include a level-1, a level-2, a level-3, a level-4 and a level-5.The predefined risk score levels such as, level-1, level-2, level-3,level-4 and level-5 correspond to risk parameter value ranges such as,1-20, 21-40, 41-60, 61-80 and 81-100, respectively. Online merchant 104determines that users 102-n falls under the category of risk scorelevel-1. Thereafter, online merchant 104 checks restrictions andprivileges associated with the risk score level-1 and subsequentlydenies the online transaction request of the users 102-n. In thismanner, the online merchant 104 is able to determine the potentiallyfraudulent users 102-n beforehand thereby averting the potentialbusiness risk associated with transaction.

FIG. 4 illustrates a flow diagram of a method for authenticating onlinepayment transaction requests in accordance with another embodiment ofthe invention. A user requesting an online payment transaction requestmay have an account with a networking platform. The online paymenttransaction request may be then authenticated based on a profileparameters associated with the user present in the networking platform.At step 402, networking platform assigns a user identifier to a user.The user identifier is a unique identifier assigned to each user havingan account with the networking platform.

The user may send an online payment transaction request to a third partypayment provider. The online payment transaction request may include,but not limited to, buying, selling, transferring, returning andrefunding of a currency. The currency may be one of a real currency anda virtual currency. In a scenario, the third party payment provider mayenable the user to exchange a virtual currency for a real currency. Forthis, the user may access a third party payment gateway for transferringthe real currency to the third party payment provider. Examples of thethird party payment gateway, may include, but not limited to, VISA®,Master® or Maestro®. Thereafter, the third party payment provider mayprovide an amount of virtual currency equivalent to an amount of realcurrency received through the third party payment gateway to the user.

In an embodiment of the invention, in addition to having an account withthe networking platform, the user may have an account with the thirdparty payment provider. The third party payment provider may enable theuser to access the account. The user may access the account to accessthe account details. The account details may include, but not limitedto, balance information and log information. Examples of the loginformation may include, but not limited to, a transaction log and alogin log.

In this embodiment, when the user exchanges a virtual currency for areal currency with the third party payment provider, an amount ofvirtual currency equivalent to an amount of real currency receivedthrough the third party payment gateway is deposited into the account ofthe user.

Upon receiving the online transaction request from user the third partypayment provider may determine a risk parameter associated with user atstep 404. The risk parameter of user may be determined based on one ormore profile parameters associated with the user. The third partypayment provider may obtain the one or more profile parameters from thenetworking platform. The one or more profile parameters may beassociated with the user or one or more associations of the user in thenetworking platform. The process of determining the risk parameter fromthe one or more profile parameters is explained in detail in conjunctionwith FIG. 2.

In a scenario, the third party payment provider may use a profileparameter associated such as a refund score of the user to determine therisk parameter of the user. The third party payment provider may employthe process of determining the risk parameter from refund scoreexplained in detail in conjunction with FIG. 2. Thereafter, at step 406,the third party payment provider may authenticate the online paymenttransaction request of the user based at least in part on the riskparameter associated with user.

FIG. 5 illustrates a flow diagram of a method for communicating at leastone profile parameter and a user identifier to the third party paymentprovider. At step 502, the networking platform provides the useridentifier of the user to the third party payment provider. In anembodiment of the invention, the third party payment provider may beintegrated within a platform of the networking platform. The platformmay include, but not limited to, a software platform, a hardwareplatform or a combination of the software platform and the hardwareplatform. In this case, the third party payment provider may use theunique identifier provided to each user for identifying the user. Theuser identifier is explained in detail in conjunction with FIG. 4.

Thereafter, the networking platform communicates the one or more profileparameters associated with the user to the third party payment providerat step 504. The one or more profile parameters may be transferred bythe networking platform upon receiving a request from the third partypayment provider. The third party payment provider may send such arequest upon receiving the online payment transaction request from theuser.

FIG. 6 illustrates a flow diagram of a method for determining apotentially fraudulent online payment transaction request by the thirdparty payment provider in accordance with another embodiment of theinvention. The risk parameter associated with one or more usersdetermined based on the one or more profile parameters may be associatedwith multiple risk levels. Thus, an online payment transaction requestfrom the user is authenticated based on a risk score level of the riskparameter. Once the risk parameter associated with the user isdetermined, the third party payment provider may compare the riskparameter of the user with predefined risk score levels at step 602. Inan embodiment of the invention, the one or more predefined risk scorelevels may be defined by the third party payment provider. During thecomparison process, the third party payment provider identifies that therisk parameter falls within a predefined risk score level of the one ormore predefined risk score levels. The process of comparing the riskparameter with the one or more predefined risk score levels is explainedin detail in conjunction with FIG. 3. Also, each predefined risk scorelevel of the one or more predefined risk score levels may haverestrictions and privileges associated with that level. Theserestrictions and privileges not only indicate certain transactionconstraints buy also indicate the level of transaction authorizationtrustworthiness between the user and third party payment provider. Therestrictions and privileges associated with a predefined risk scorelevel may be defined by the third party payment provider. Therestriction and privileges associated with risk score levels isexplained in detail in conjunction with FIG. 3.

Based on the predefined risk score level of the risk parameter, at step604, the third party payment provider determines whether the onlinepayment transaction request is a potentially fraudulent online paymenttransaction request. Thereafter, the third party payment provider mayallow or deny the user from transacting with the third party paymentprovider.

Turning now to FIG. 7, which illustrates a system for authenticatingonline transaction requests in accordance with an embodiment of theinvention. As shown in FIG. 7, system 700 includes a processor 702 and amemory 704. Processor 702 interacts with memory 704 for authenticatingone or more online transaction requests from a user. In an embodiment ofthe invention, the user may request an online transaction with theonline merchant. The user may have an account with networking platform.In the networking platform, the user may have one or more peer usersassociated with the user. The user and the one or more peer users mayhave one or more profiles associated with their account with thenetworking platform. The profiles may have one or more profileparameters associated with the profiles. These profile parameters may bestored in memory 704.

Processor 702 receives the online transaction request from the user. Theonline transaction request is explained in detail in conjunction withFIG. 2. Upon receiving the online transaction request, processor 702communicates with memory 704 for accessing the one or more profileparameters stored therein. In a scenario, processor 702 communicateswith the networking platform for accessing the one or more profileparameters. In this case, memory 704 may be integrated within thenetworking platform. Once processor 702 obtains the one or more profileparameters, processor 702 processes the one or more profile parametersin order to determine the risk parameter of the user. The process ofdetermining the risk parameter of the user is described in detail inconjunction with FIG. 2. The risk parameter indicates a level oftrustworthiness associated with the user.

In an embodiment of the invention, processor 702 may determine a refundscore based on a refund statistics associated with one the user and apeer user associated with the user in the community. The refundstatistics is associated with refunding of the goods, services andcurrency to the online merchant by the user or other users associatedwith the user. Thus, the user and each user associated with the user mayhave a corresponding refund score. The refund score may be a profileparameter of the one or more profile parameters stored in memory 704. Inan embodiment of the invention, the refund score may be stored as aprofile parameter in the networking platform. Thereafter, processor 702may determine the risk parameter of the user based on the refund score.The process of determining the risk parameter based on the refund scoreis explained in detail in conjunction with FIG. 2.

Processor 702 compares the risk parameter of the user with one or morepredefined risk score levels. The processes of comparing the riskparameter with one or more predefined risk score levels is explained indetail in conjunction with FIG. 3. The user is then categorized based onthe risk score level of the risk parameter. In an embodiment of theinvention, the data associated with the predefined risk score levels maybe stored in memory 704. Upon comparison, processor 702 determineswhether the online transaction request from the user is a potentiallyfraudulent request based on the risk parameter of the user. Thereafter,processor 702 authenticates the online transaction request from theuser.

After authenticating the online transaction request from the user,processor 702 authorizes the online transaction request. Theauthorization of the online transaction request is performed based on aset of transaction constraints associated with the authenticated onlinetransaction request. The set of transaction constraints may include, butnot limited to, restrictions and privileges associated with the riskscore level described earlier in the disclosure. These set oftransaction constraints indicate a level of trustworthiness oftransaction authorized to user. Based on risk score level category ofthe user, and subsequent restrictions and privileges associated withthat risk score level, processor 702 authorizes the online transactionrequest. This is explained in detail in conjunction with FIG. 3.

Turning now to FIG. 8, a block diagram showing authentication of anonline transaction request, in accordance with an exemplary embodimentof the invention. Environment 800 includes a networking platform 802 andusers 804-n. Users 804-n such as, a user 804-1 and a user 804-n may useone or more computing devices (not shown in FIG. 8) for connecting tonetworking platform 802 over a communication network (not shown in FIG.8).

One or more computing devices enable users 804-n to connect tonetworking platform 802 through the communication network. The computingdevice communicates with the communication network through varioustechnologies such as Universal Serial Bus (USB) Port, Global System forMobile communication (GSM), Code Division Multiple Access (CDMA), TimeDivision Multiple Access (TDMA), Frequency Division Multiple Access(FDMA), Wide Area Network (WAN), Local Area Network (LAN), WirelessInteroperability Microwave Access (WiMAX), Universal MobileTelecommunication Systems (UMTS), or General Packet Radio Service(GPRS).

Networking platform 802 enables interactive or non-interactivecommunication with users 804-n. Networking platform 802 interfaces withthe communication network for communicating with users 804-n. Networkingplatform 802 interfaces with communication network by using one or morecommunication protocols. Examples of the one or more communicationprotocols include, but are not limited to, network protocols such asInternet protocol (IP), transport protocols such as transmission controlprotocol (TCP), and user datagram protocol (UDP), and applicationprotocols such as session initiation protocol (SIP), H.323, real-timetransport protocol (RTP), and real time streaming protocol (RTSP).

Environment 800 further includes one or more applications 806-n such as,an application 806-1 and an application 806-2. One or more applications806-n may be developed by third party entities. Third party entities mayinclude, but not limited to, a company and an organization. Networkingplatform 802 may allow one or more applications 806-n developed by thethird party entities to be deployed on networking platform 802.Networking platform 802 may be for example, but not limited to, asoftware platform, a hardware platform or a combination of the softwareplatform and the hardware platform. One or more applications 806-n aresoftware applications and may include, but not limited to, a virtualgood, a digital item, an entertainment, a game or a media.

Environment 800 further includes a third party payment provider 808.Third party payment provider 808 may include, but not limited to, acompany and an organization. Third party payment provider 808 may beintegrated with networking platform 802. Third party payment provider808 facilitates a transaction between networking platform 802, users804-n and third party entities.

During operation, networking platform 802 may allow users 804-n toaccess one or more applications 806-n. For instance, user 804-1 may beallowed to access a software application i.e. a digital item that user804-1 may utilize. An example of such a digital item may be a type ofsword in a gaming software application that user 804-1 purchases. Thesword confers user 804-1 with additional skills, powers and abilitiesinside of the gaming software application that are not otherwiseavailable to other users. Further examples of digital items may include,but not limited to, a self-expression items, a decorative items such asclothing for an avatar to wear in the gaming software application, adecorations or a property that an avatar may own in the gaming softwareapplication.

Subsequently, the third party entities may charge users 804-n a feetowards services offered to users 804-n. The third party entities mayhave the sole discretion to charge the fee for the services offered tousers 804-n. In a scenario, the third party entities may charge aonetime subscription fee from users 804-n for accessing one or moreapplications 806-n hosted on networking platform 802. Alternatively, thethird party entities may charge users 804-n on a pay-per-use basis, i.e.users 804-n needs to pay a fee every time users 804-n accesses one ormore applications 806-n. Thus, to access one or more applications 806-nhosted on networking platform 802, users 804-n may send an onlinetransaction request to the third party entities.

In order to facilitate the online transaction between users 804-n andthe third party entities, networking platform 802 may allow third partypayment provider 808 to integrate within networking platform 802. Morespecifically, users 804-n may send the online transaction request suchas a payment request to the third party entities for accessing one ormore applications 806-n through third party payment provider 808. Users804-n may pay the third party entities by transferring a desired amountof currency to the third party entities. The currency may be one or moreof a virtual currency, a real currency or a combination of both. Thirdparty payment provider 808 authenticates the online transaction requestand thereafter allows or denies the online transaction request of user806-n. The process of authenticating the online transaction request isexplained in detail in conjunction with FIGS. 4, 5, and 6.

For example, user 804-1 may access application 806-1 developed by athird party entity, by paying the required fee. The required fee may bepaid by user 804-1 in the form of a virtual currency or a real currency.In this case, user 804-1 may request third party payment provider 808 totransfer a required amount of virtual currency to third party entity foraccessing application 806-1. Whereas, to make a payment using the realcurrency, user 804-1 may transfer the required amount of real currencyto the third party entity through a third party payment gateway.

FIG. 9 illustrates a block diagram of third party payment provider 808in accordance with an embodiment of the invention. Networking platform802 may allow third party payment provider 808 to be integrated withinnetworking platform 802. As depicted in FIG. 9, third party paymentprovider includes an Application Programming Interface (API) 902, apayment processor 904 and a database 906.

In an embodiment of the invention, networking platform 802, users 804-nand the third party entities may have an account with third partypayment provider 808. Account details of these accounts may be stored indatabase 906. Networking platform 802, users 804-n and the third partyentities may access their accounts in third party payment provider 808using API 902. Users 804-n may send online transaction request to accessone or more applications 806-n developed by the third party entities.Users 804-n may connect to third party payment provider 808 using API902 to send such an online transaction request. In response to receivingthe online transaction request, the third party entities may request feefrom users 804-n. Thereafter, users 804-n may request third partypayment provider 808 to transfer a certain amount of currencycorresponding to the required fee to the third party entities. Paymentprocessor 904 receives the request from the user. Thereafter, paymentprocessor 904 checks database 906 to gather details associated withaccounts of users 804-n. These details may include, but not limited to,name, balance, transaction log, login history and risk parameters.Payment processor 904 then processes or declines the currency transferrequest of users 804-n based on one or more details of the accounts ofusers 804-n such as a risk score level associated with users 804-n.

FIG. 10 illustrates a block diagram showing authentication of an onlinetransaction request, in accordance with another exemplary embodiment ofthe invention. Environment 1000 includes a networking platform 1002 andusers 1004-n. Environment 1000 further includes applications 1006-n suchas, an application 1006-1 and an application 1006-2. Applications 1006-nmay be developed by one or more third party entities. Networkingplatform 1002 such as, a social networking platform may allow the thirdparty entities to deploy applications 1006-n on networking platform1002. Networking platform 1002 may further allow users 1004-n to accessapplications 1006-n. The third party entities associated withapplications 1006-n may charge users 1004-n a fee towards servicesoffered to users 1004-n. Thus, to access applications 1006-n hosted onnetworking platform 1002, users 1004-n may send an online transactionrequest to the third party entities.

Networking platform 1002 facilitates the online transaction betweenusers 1004-n and the third party entities. More specifically, users1004-n may send the online transaction request such as, a paymentrequest to the third party entities for accessing applications 1006-nthrough networking platform 1002. Users 1004-n may pay the third partyentities by transferring a desired amount of currency to the third partyentities. The currency may be one or more of a virtual currency, a realcurrency or a combination of both. Networking platform 1002authenticates the online transaction request and thereafter allows ordenies the online transaction request of users 1004-n. The process ofauthenticating the online transaction request is explained in detail inconjunction with FIGS. 4, 5, and 6.

For example, user 1004-1 may access application 1006-1 developed by athird party entity, by paying the required fee. The required fee may bepaid by user 1004-1 in the form of a virtual currency or a realcurrency. In this case, user 1004-1 may request networking platform 1002to transfer a required amount of virtual currency to the third partyentity for accessing application 1006-1. Whereas to make a payment usingthe real currency, user 1004-1 may transfer the required amount of realcurrency to the third party entity through a third party paymentgateway. Examples of the third party payment gateway, may include, butnot limited to, VISA®, Master® or Maestro®.

Various embodiments of the present invention provide method and systemsfor authentication online transactions. More specifically, the presentinvention provide method and systems for determining a potentiallyfraudulent online transaction request based on risk parametersassociated with a user in a networking platform. The method and systemas disclosed herein uses one or more profile parameters associated witha user or one or more peers users associated with the user in thenetworking platform in determining the risk parameter.

Those skilled in the art will realize that the above recognizedadvantages and other advantages described herein are merely exemplaryand are not meant to be a complete rendering of all of the advantages ofthe various embodiments of the present invention.

In the foregoing specification, specific embodiments of the presentinvention have been described. However, one of ordinary skill in the artappreciates that various modifications and changes can be made withoutdeparting from the scope of the present invention as set forth in theclaims below. Accordingly, the specification and figures are to beregarded in an illustrative rather than a restrictive sense, and allsuch modifications are intended to be included within the scope of thepresent invention. The benefits, advantages, solutions to problems, andany element(s) that may cause any benefit, advantage, or solution tooccur or become more pronounced are not to be construed as a critical,required, or essential features or elements of any or all the claims.The present invention is defined solely by the appended claims includingany amendments made during the pendency of this application and allequivalents of those claims as issued.

1-27. (canceled)
 28. A method comprising: receiving an onlinetransaction request from a user; accessing a plurality of profileparameters of the user from a networking platform, each profileparameter having a plurality of subdivided levels; comparing eachprofile parameter of the plurality of profile parameters with theirrespective subdivided levels to obtain assigned weights corresponding toeach profile parameter; determining, by a computing device, a riskparameter indicating a level of trustworthiness of the user based on atleast the assigned weights of the profile parameters by collating theassigned weights of the profile parameters, or averaging the assignedweights of the profile parameters; and authenticating the onlinetransaction request based at least in part on the risk parameterassociated with the user.
 29. The method of claim 28, furthercomprising: determining, based the plurality of profile parameters,whether a profile of the user is real or fake.
 30. The method of claim28, wherein at least one of the plurality of profile parameters is anactivity, age, an association membership, a book, a self-declaredpreference, a comment, a current or former employer, a current or formerjob position, a city, a club membership, a degree major, a degree minor,an education level, family members, fan pages, a gender, a geographiclocation, a group membership, a hobby, a hometown, an interest, a jobtitle, a marital status, a music, a movie, an occupation, a number orcommunity connections, a number of friends, a number of recommendationsfrom the community connections, a number of photos, photos, politicalviews, religions views, a page membership, a refund score, arelationship status, a sport or a television show.
 31. The method ofclaim 28, wherein at least one of the profile parameters is: a number ofpeer users in an online community who are associated with the user inthe online community as friends, or usage data of the user in the onlinecommunity, the usage data including at least one of a date of creationof an online community account of the user, frequency of access to theonline community account of the user, last login data and time of theonline community account of the user; frequency of access of a gamingapplication in the online community using the online community accountof the user, or a level of play of the user inside the gamingapplication.
 32. The method of claim 28, wherein at least one of theplurality of profile parameters is a peer user profile parameter of apeer user who is associated with the user in an online community. 33.The method of claim 32, wherein the peer user is associated with theuser in the online community as a friend of the user in the onlinecommunity, a colleague of the user in the online community, or arelative of the user in the online community.
 34. The method of claim28, wherein the networking platform comprises a social networkingplatform.
 35. The method of claim 28, wherein the online transactionrequest is associated with at least one of buying, selling,transferring, returning or refunding of at least one of real goods,virtual goods, a service, a real currency, or a virtual currency. 36.The method of claim 28, further comprising determining a refund scorebased on refund statistics associated with the user or a peer userassociated with the user in the online community, wherein the refundstatistics is associated with refunding of at least one of a real good,a virtual good, a service, a real currency, or a virtual currency to anonline merchant.
 37. The method of claim 28, wherein the risk parameterof the user corresponds to a predefined risk score level of at least onepredefined risk score level defined by one of an online merchant or thenetworking platform.
 38. A system for authenticating onlinetransactions, the system comprising: a memory for storing dataassociated with a plurality of profile parameters associated with auser; a processor coupled to the memory, wherein the processor isconfigured to: receive an online transaction request from a user; accessa plurality of profile parameters associated with the user from anetworking platform, each profile parameter having a plurality ofsubdivided levels; compare each profile parameter of the plurality ofprofile parameters with their respective subdivided levels to obtainassigned weights corresponding to each profile parameter; determine, bya computing device, a risk parameter indicating a level oftrustworthiness of the user based on at least the assigned weights ofthe profile parameters by collating the assigned weights of the profileparameters, or averaging the assigned weights of the profile parameters;and authenticate the online transaction request based at least in parton the risk parameter associated with the user.
 39. The system of claim38, wherein the processor is further configured to: determine, based theplurality of profile parameters, whether a profile of the user in anonline community is real or fake.
 40. The system of claim 38, wherein atleast one of the plurality of profile parameters is an activity, age, anassociation membership, a book, a self-declared preference, a comment, acurrent or former employer, a current or former job position, a city, aclub membership, a degree major, a degree minor, an education level,family members, fan pages, a gender, a geographic location, a groupmembership, a hobby, a hometown, an interest, a job title, a maritalstatus, a music, a movie, an occupation, a number or communityconnections, a number of friends, a number of recommendations from thecommunity connections, a number of photos, photos, political views,religions views, a page membership, a refund score, a relationshipstatus, a sport or a television show.
 41. The system of claim 38,wherein at least one of the profile parameters is: a number of peerusers in the online community who are associated with the user in theonline community as friends, or usage data of the user in the onlinecommunity, the usage data including at least one of a date of creationof an online community account of the user, frequency of access to theonline community account of the user, last login data and time of theonline community account of the user; frequency of access of a gamingapplication in the online community using the online community accountof the user, or a level of play of the user inside the gamingapplication.
 42. The system of claim 38, wherein at least one of theplurality of profile parameters is a peer user profile parameter of apeer user who is associated with the user in an online community. 43.The system of claim 42, wherein the peer user is associated with theuser in the online community as a friend of the user in the onlinecommunity, a colleague of the user in the online community, or arelative of the user in the online community.
 44. The system of claim38, wherein the networking platform comprises a social networkingplatform.
 45. The system of claim 38, wherein the online transactionrequest is associated with at least one of buying, selling,transferring, returning or refunding of at least one of real goods,virtual goods, a service, a real currency, or a virtual currency. 46.The system of claim 38, wherein the processor is further configured to:determining a refund score based on refund statistics associated withthe user or a peer user associated with the user in the onlinecommunity, wherein the refund statistics is associated with refunding ofat least one of a real good, a virtual good, a service, a real currency,or a virtual currency to an online merchant.
 47. The system of claim 38,wherein the risk parameter of the user corresponds to a predefined riskscore level of at least one predefined risk score level defined by oneof an online merchant or the networking platform.